LangGraph Wizard-multi-agent graph system

Example

Creating a multi-agent system where different agents are responsible for handling various parts of a user query, such as booking, information retrieval, and customer feedback.

Scenario

In a travel booking application, LangGraph Wizard can orchestrate multiple agents where one handles flight bookings, another manages hotel reservations, and a third collects user feedback, seamlessly transitioning between them based on user input and context.

Example

An agent that needs to perform recursive operations, such as refining search results or generating dynamic queries based on user feedback.

Scenario

A research tool uses LangGraph Wizard to refine search queries iteratively. The agent presents initial results, asks the user for feedback, refines the search parameters based on this feedback, and repeats the process until the user's needs are fully met.

Example

Automatically calling external APIs or tools for data retrieval or action execution based on the decision logic defined within the agent nodes.

Scenario

In a healthcare management system, an agent uses external APIs to retrieve patient records, update appointments, and send notifications to both patients and medical staff, with each action being triggered by specific conditions within the conversation flow.